Practical Guide to Designed Experiments: A Unified Modular Approach

ISBN-13: 9780824753887 / Angielski / Twarda / 2004 / 224 str.

Funkenbusch; Paul D. Funkenbusch; Funkenbusch D. Funkenbusch

Opis

Many engineers and scientists have receive little or no training in designed experiments, and any courses that are available tend to be either abstract and divorced from practical considerations or strictly practical-lacking the rigor and depth necessary for true, long-term understanding.

Practical Guide to Designed Experiments: A Unified Modular Approach bridges that gap, presenting the essential material in a manner that permits rapid application to practical problems but also provides the structure and understanding necessary for long-term growth. It covers two-level and three-level full and fractional factorial design and also includes the L12 and L18 designs popularized by Taguchi. The author describes the role and selection of the system response for measurement and optimization and discusses both conventional and Taguchi approaches, noting their similarities and differences.

Clearly written and well organized, this text shows how the components of experimental design fit and work together. Offering an abundance of examples, case studies, and practice problems, it is highly suited to anyone with a basic science or engineering background but little or no previous exposure to matrix experiments or other elements of planned experimentation.

Recenzje

"This book thoroughly explains how the components of experimental design fit and work together using a unified modular approach … The book is clearly written and well organized, offering numerous examples and case studies from many disciplines. … Summing Up: Highly recommended."
- CHOICE, June 2005
"..includes a good balance of quantitative problems and opportunities for reflection on the concepts introduced."
MRS Bulletin, Volume 30, October 2005
"This book is a great introduction to experimental design for anyone who is unfamiliar with it. It covers statistics, fundamental array design, Taguchi techniques and various analysis techniques. [The author] describes a clear summary of each statistical method, citing concrete examples. Homework helps you to check your understanding in each chapter. It is very helpful to use in various fields and occasions. After learning these techniques, I'm sure you'll be a good experiment designer, saving time, cost and energy."
- Akihisa Nishimura, Manager, Fuel Cell Production Engineering, Toyota Motor Corporation

"This book provides an excellent introduction to DOE, allowing a rapid understanding and use of the material for practical problems. It covers the essential techniques and terminology used along with an up-front, worked-out example to illustrate how the DOE are conducted."
-IEEE Electrical Insulation Magazine, Vol. 22, No. 1, 2006

Spis treści

HOW A DESIGNED EXPERIMENT WORKSPolishing Fluid Delivery SystemControl Factors, Levels, and CodingArray Selection and SetupNoise Factors and ConditionsResponses and Characteristic ResponsesAnalysis of MeansAnalysis of VarianceConclusionFUNDAMENTAL CONCEPTSFood for ThoughtOver-the-Wall EngineeringContributions of TaguchiStages of DesignDefining Quality (Traditional Approach)Quadratic Loss FunctionThe P-DiagramConclusionHomework/Discussion ProblemsSTATISTICAL CONCEPTSReview of Basic ConceptsANOM and ANOVAHomework/Discussion ProblemsARRAY DESIGN (Two-Level Factors)Basic ConceptsInteractionsDesign Trade-Offs and StrategiesHomework/Discussion ProblemsSELECTION OF THE CHARACTERISTIC RESPONSEResponse and Characteristic ResponseThe "Natural Choice"Good Experimental PracticeLinked to Long-Term ImprovementEase of Optimization and ImplementationTaguchi's S/N RatiosHomework/Discussion ProblemsINCLUSION OF REAL-WORLD VARIABILITYNoise ConditionsA Menu of StrategiesHomework/Discussion ProblemsADDITIONAL ARRAY DESIGNS (Three-Level Factors and Modifications)Standard Designs for Factors with Three LevelsDesign Strategies with Three-Level FactorsModification of ColumnsHomework/Discussion ProblemsADDITIONAL ANALYSIS TECHNIQUESChoosing an Analysis TechniquePooling of Unused ("Empty") ColumnsPooling of Smallest EffectsReplicationNormal Probability PlotsHomework/Discussion ProblemsAPPENDICESTwo-Level Factorial ArraysThree-Level Factorial ArraysScreening ArraysCritical Values of FReferencesIndexEach chapter also includes and Overview and a section of Homework/Discussion problems.

O autorze

Paul D. Funkenbusch